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Chinese telecommunications behemoth ZTE has released its comprehensive ‘5G Network Intelligence White Paper’. Featuring ZTE’s leading technologies in 5G arena and in-depth insights on telecoms development, the white paper aims to address the internal and external challenges that the telecom networks will be confronted with in the 5G era.

The ‘5G Network Intelligence White Paper’ focuses on ZTE's 5G network intelligence researches and achievements, and aims to promote the deep integration of AI technology and the telecoms field, thereby expecting to address the trend of combining artificial intelligence technology with the telecoms network.

Such integration will accelerate the efficiency of 5G network operation and maintenance, the ecological co-construction of the industry in the era of intelligent interconnection, and the continued growth of the digital social economy as well. In terms of the 5G intelligent construction, ZTE proposes a cloud-based, service-based 5G infrastructure to realize intelligent ubiquitous empowerment.

In accordance with the layered introduction and on-demand deployment, the intelligent engine, the lightweight engine, and the real-time engine can be deployed flexibly to different levels of training and reasoning requirements. The AI algorithm model and various levels of intelligent engines can be deployed based on different hardware computing environments in 5G networks.

Meanwhile, the combination of engines, model components, and application algorithms can be integrated into different network functional entities to realize the intelligence of 5G networks.

Global 5G networks witness rapid deployments with the maturing of 5G technology standards and the in-depth development of global pre-commercial testing. The traditional human governance model based on expert experience turns to be difficult to satisfy the requirements of network development. The network autonomy model with intelligence will therefore become the direction of 5G network evolution.

ZTE has been dedicated to helping operators well adapt to trends and address challenges by building a complete set of data sensing, intent insight, and intelligent analysis capabilities for telecom networks, thereby creating intelligence with the capabilities of “network autonomy, foreseeing the future, on-demand, and intelligent operation”.